2026 AI Engineer Intern - Remote
Northrop Grumman is seeking a motivated intern to join our team focused on the design, development, and/or deployment of AI/ML systems. This internship offers hands-on experience in AI/ML system architecture and the opportunity to contribute to innovative solutions supporting our missions. The ideal candidate is a student with a strong interest in AI/ML, eager to learn, and ready to collaborate with engineering and IT teams.
Roles and Responsibilities could include:
• Support the architecture, design, and deployment of scalable AI/ML systems under the guidance of senior engineers.
• Designing, testing and optimizing prompts for LLMs to improve output quality and task accuracy
• Collaborate with cross-functional teams, including software engineers and data scientists, to integrate AI/ML technologies into existing frameworks.
• Assist in developing end-to-end AI/ML solutions, including data processing and deployment. Agentic and non-agentic could be included.
• Apply AI to real world problems – data preprocessing, analytics, and insights generation
• Participate in requirements gathering, system design reviews, and technical documentation.
• Help develop communications and training packages about AI/ML.
• Stay current with industry trends and emerging technologies in AI/ML.
Basic Qualifications:
• Be a student who is enrolled full time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2027.
• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Coursework or project experience in AI/ML, algorithms, or data science.
• Familiarity with programming languages such as Python, Java, or C++.
• Interest in data engineering and analytics
• Interest in cloud computing platforms (e.g., AWS, Azure, GCP) and container technologies (e.g., Docker, Kubernetes) is a plus.
• Knowledge of LLMs, agent systems, and prompt engineering.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Be available to work full-time (40 hours per week) for at least 10 weeks during the summer of 2026.
Preferred Qualifications:
• Experience with AI/ML frameworks through coursework or projects.
• Exposure to Ai applications that are responsible and generate creative business efficiencies.
• Exposure to big data technologies or DevOps practices is a plus.
• Excellent communication skills and willingness to learn.
Intern Pay Range:
Bachelor’s: $17.00 - $38.00
Master’s: $24.50 - $46.75
Apply Now
Apply Now
Roles and Responsibilities could include:
• Support the architecture, design, and deployment of scalable AI/ML systems under the guidance of senior engineers.
• Designing, testing and optimizing prompts for LLMs to improve output quality and task accuracy
• Collaborate with cross-functional teams, including software engineers and data scientists, to integrate AI/ML technologies into existing frameworks.
• Assist in developing end-to-end AI/ML solutions, including data processing and deployment. Agentic and non-agentic could be included.
• Apply AI to real world problems – data preprocessing, analytics, and insights generation
• Participate in requirements gathering, system design reviews, and technical documentation.
• Help develop communications and training packages about AI/ML.
• Stay current with industry trends and emerging technologies in AI/ML.
Basic Qualifications:
• Be a student who is enrolled full time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2027.
• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Coursework or project experience in AI/ML, algorithms, or data science.
• Familiarity with programming languages such as Python, Java, or C++.
• Interest in data engineering and analytics
• Interest in cloud computing platforms (e.g., AWS, Azure, GCP) and container technologies (e.g., Docker, Kubernetes) is a plus.
• Knowledge of LLMs, agent systems, and prompt engineering.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Be available to work full-time (40 hours per week) for at least 10 weeks during the summer of 2026.
Preferred Qualifications:
• Experience with AI/ML frameworks through coursework or projects.
• Exposure to Ai applications that are responsible and generate creative business efficiencies.
• Exposure to big data technologies or DevOps practices is a plus.
• Excellent communication skills and willingness to learn.
Intern Pay Range:
Bachelor’s: $17.00 - $38.00
Master’s: $24.50 - $46.75
Apply Now
Apply Now